Tools & software

Software, nodes, and infrastructure as an extension of the practice.

Beyond the works, Mr. Gattax develops his own infrastructure for AI creation: from a full-stack platform to nodes published for the ComfyUI community.

Platform

Platform · 2025

Egrégora Labs

Next.js · TypeScript · Supabase · Cloudflare · Runpod · Stripe

An AI creation platform conceived and developed from scratch by Mr. Gattax, from database to interface. More than a product, it is the technical laboratory of the artistic practice: the infrastructure where generation workflows, models, and tools are built, tested, and refined before reaching the works.

  • Authentication, accounts, and plans with a custom credit system
  • Cloud GPU processing (Runpod) with asynchronous job queues
  • Media storage and delivery on Cloudflare, with database and Edge Functions on Supabase
  • Payments and webhooks via Stripe, with dedicated administrative routes

Building the infrastructure itself, instead of relying only on ready-made tools, is part of the work: understanding the medium down to the code layer changes what can be done with it.

Open egregoralabs.com

Proprietary upscalers

  • 01Acutis Precision
  • 02Aetheris Upscaler
  • 03Zynthera Upscaler

Three proprietary super-resolution pipelines developed from scratch, each with its own strategy for detail reconstruction, fidelity, and image treatment. Built and refined in real production, they are among the most advanced upscalers available today, accompanied by a set of complementary processing tools inside the platform.

ComfyUI nodes · open source

Five packages published on GitHub in 2025, born from real studio production needs and kept open for the ComfyUI community. Each one solves a concrete pipeline problem: semantic upscaling, regional processing, color, animation, and audio.

Egrégora ARMD

Adaptive Regional Mixture of Diffusers

A region-based diffusion system for semantic upscaling: it divides the image into areas with their own conditioning, where each region receives a distinct prompt, either manual or generated through VLM captioning. It uses context-aware denoising and smooth blending to maintain coherence, with ControlNet integration for both upscaling and generation from scratch.

View on GitHub

Egrégora Divide and Enhance

Tile-based processing

Divides large images into tiles with owner-based padding, processes each part separately, and recombines them with smooth transitions. Deterministic planning and adaptive recombination reduce seams, ghosting, and duplicated detail. Includes algorithm, selection, combination, and mask debug nodes.

View on GitHub

Egrégora Adaptive Colorfix

Reference-guided color correction

Transfers the palette and color mood of a reference image to a target image while preserving local detail and protecting edges. It combines wavelet analysis, multi-scale chroma transfer, and edge-aware masks to avoid halos and color bleeding, with edge_safety and luma_match controls.

View on GitHub

Egrégora Frames Animation Nodes

Frame animation toolkit

An animation toolkit based on image lists: batch loader (folders, ZIPs, URLs), multi-folder processor, video frame extractor, AI frame interpolation, and multi-format encoder (GIF, MP4, WebM, AVI, MOV, MKV), with order, FPS, and loop controls.

View on GitHub

Egrégora Audio Super Resolution

Audio super-resolution

Audio enhancement inside ComfyUI: the FlashSR node uses diffusion upsampling for clarity and detail in musical audio, while Fat Llama nodes (GPU/CPU) apply iterative spectral enhancement for sharpness and noise reduction. Includes loudness evaluation, quality metrics, and null-test tools.

View on GitHub